• DocumentCode
    471675
  • Title

    Field Stimulation of Cells in Suspension: Use of a Hybrid Finite Element Method

  • Author

    Ying, Wenjun ; Pourtaheri, Navid ; Henriquez, Craig S.

  • Author_Institution
    Dept. of Biomed. Eng., Duke Univ., Durham, NC
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    2276
  • Lastpage
    2279
  • Abstract
    Electric fields are used in a range of applications, including gene transfection, electrochemotherapy of tumors and cardiac defibrillation. Despite the widespread use of electric fields, most of the theoretical and computational studies on discrete cellular tissue have focused on a single cell. In this work, we propose a hybrid finite element method to simulate the effects of external electric fields on clusters of excitable cells. The method can be used to model cells of arbitrary cell geometries and non-linear membrane dynamics. The results show that the response of multiple cell, like a single cell, is a two-stage process consisting of the initial polarization that proceeds with cellular time constant (less than one microsecond) and the actual excitation of the cell membrane that proceeds with the membrane time constant (on the order of milliseconds). The results also show that the stimulation of a given cell depends in part on the arrangement of cells within the field and not simply the location within the field, suggesting that classical approaches that ignores the effect of the cells on the field do not adequately predict the cellular response
  • Keywords
    bioelectric potentials; biomembranes; cellular biophysics; finite element analysis; suspensions; cardiac defibrillation; cell membrane; cell stimulation; cellular tissue; electric fields; electrochemotherapy; excitable cells; gene transfection; hybrid finite element method; membrane time constant; nonlinear membrane dynamics; suspension; tumors; Biomembranes; Cells (biology); Computational modeling; Conductivity; Extracellular; Finite element methods; Geometry; Polarization; Predictive models; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259351
  • Filename
    4462246